Job description

Business Intelligence Senior Data Scientist Wilmington - HQ, USA Monday-Friday 8:00 am to 5:00 pm Hybrid A Business Intelligence Senior Data Scientist develops advanced analytics and machine learning models, and maintains efficient data pipelines, reporting systems, DataOps practices for CI/CD of pipelines and BI infrastructure. Collaborate with analysts and business partners to deliver scalable solutions that support analytics, reporting, and data-driven decision making. 5+ years of experience in data engineering, BI development, or analytics engineering. Some of the things you will be doing: • Implement data integration solutions for various data sources, ensuring data accuracy, consistency and completeness • Develop data quality, reconciliation and error handling frameworks to ensure data integrity • Optimize SQL and data transformation logic for performance and scalability • Document data flows, transformations and dependencies • Drive best practices in coding, testing and identify opportunities to improve processes and system reliability • Collaborate with business stakeholders to understand data requirements and translate them to scalable solutions. • Support analysts and business teams by delivering clean, structured datasets ready for visualization • Build predictive and statistical models to support forecasting, segmentation, and optimization • Implement Machine Learning and AI into Business Intelligence processes • Validate, test, and refine models to ensure accuracy and business relevance. • Analyze large, complex datasets to identify trends, patterns, and business opportunities • Support deployment and operationalization of analytics and data science outputs into Business Intelligence solutions • Understanding and knowledge of metadata management and data logs What technical skills, experience and qualifications do you need? • Bachelor's degree • 5+ years of work experience • Experience supporting enterprise BI Platform & Predictive analytics • Experience in database technologies Oracle and Microsoft SQL • Extensive experience with R & Python and data modeling concepts • Understanding of data pipeline and ETL/ELT technologies • Understanding of next-gen technologies (Databricks, Snowflake, Microsoft fabric). • Proven experience in SQL performance tuning and recommend improvements for automation and maintainability. • Excellent understanding of data visualization concepts to support dashboards and reports • Ability to work both independently and in a team-oriented, collaborative environment • Strong problem solving and analytical thinking skills • Flexible and adaptable with respect to learning and understanding new technologies • Ability to effectively prioritize and execute tasks in a high-pressure environment • Excellent communication and interpersonal skills • Detail-oriented with a focus on quality and accuracy • Experience working in Agile/Scrum environments, participating in sprint planning, standups, reviews and retrospectives • Preferred - Experience working with cloud platforms such as Azure or AWS • Preferred - Experience in Alteryx is an added advantage #LI-AM1 #SeniorDataScientistjobs #Hybrid #CSCCareers Business Intelligence Senior Data Scientist develops advanced analytics and machine learning models, and maintains efficient data pipelines, reporting systems, DataOps practices for CI/CD of pipelines and BI infrastructure. Collaborate with analysts and business partners to deliver scalable solutions that support analytics, reporting, and data-driven decision making. 5+ years of experience in data engineering, BI development, or analytics engineering.

Requirements

Must-haves

Business Intelligence Senior Data Scientist
Wilmington - HQ, USA
Monday-Friday 8:00 am to 5:00 pm
Some of the things you will be doing:
Implement data integration solutions for various data sources, ensuring data accuracy, consistency and completeness
Develop data quality, reconciliation and error handling frameworks to ensure data integrity
Optimize SQL and data transformation logic for performance and scalability
Document data flows, transformations and dependencies
Drive best practices in coding, testing and identify opportunities to improve processes and system reliability
Collaborate with business stakeholders to understand data requirements and translate them to scalable solutions.
Support analysts and business teams by delivering clean, structured datasets ready for visualization
Build predictive and statistical models to support forecasting, segmentation, and optimization
Implement Machine Learning and AI into Business Intelligence processes
Validate, test, and refine models to ensure accuracy and business relevance.
Analyze large, complex datasets to identify trends, patterns, and business opportunities
Support deployment and operationalization of analytics and data science outputs into Business Intelligence solutions
Understanding and knowledge of metadata management and data logs
What technical skills, experience and qualifications do you need?
Bachelor's degree
5+ years of work experience
Experience supporting enterprise BI Platform & Predictive analytics
Experience in database technologies Oracle and Microsoft SQL

Nice-to-haves

Preferred - Experience working with cloud platforms such as Azure or AWS
Preferred - Experience in Alteryx is an added advantage

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningci/cdsqlaipythonagilescrumazureaws

Platform: oracle-cloud
Effort: medium